- Multiple clinical trials across three AI-guided drug candidates
are active with first expected data and readouts for LP-184 in the
second half of 2024; with additional next-generation drug
development programs approaching IND studies.
- Dosed initial patients in both Phase 1 clinical trials for
synthetic lethal drug-candidates, LP-184 and LP-284, each of
which are first-in-human molecules with the potential for use
across multiple cancer indications.
- Expanded Phase 2 LP-300 Harmonic™ clinical trial into 12
sites in the US and advanced towards initial regulatory allowance
for trial commencement in Japan, Taiwan and South Korea where
approximately 30-35+% of all lung cancer cases occur in
never-smokers with NSCLC.
- Advanced Starlight Therapeutics with hiring of Chief Medical
Officer (CMO) and preparing for potential Phase 1B/2 clinical trial
in adult CNS tumors beginning in second half of 2024.
- Demonstrated significant advancement of our cryptophycin
focused antibody-drug-conjugate program (cpADC) in multiple solid
tumor models, with additional preclinical data to be generated
during 2024 in advance of IND studies.
- Exceeded 2023 goal of 60 billion datapoints for oncology drug
development AI platform, RADR®, and announced 100 billion datapoint
goal for 2024 to include additional advancements in integrating
generative AI features into platform functionality.
- Approximately $41.3 million in cash, cash equivalents,
and marketable securities as of December 31, 2023.
- The conference call and webcast are scheduled for today,
Monday March 18, 2024, at 4:30 p.m. ET / 1:30 p.m. PT.
Lantern Pharma Inc. (NASDAQ: LTRN), an artificial intelligence
(“AI”) company developing targeted and transformative cancer
therapies using its proprietary RADR® AI and machine learning
(“ML”) platform with multiple clinical-stage drug programs, today
announced operational highlights and financial results for the
fourth quarter and fiscal year ended December 31, 2023.
“This past quarter and the entire year of 2023 was a period of
meaningful and remarkable progress for our programs and our AI
platform at Lantern Pharma. Our team demonstrated how combining
emerging AI technologies, cancer biology models and experiments,
chemical, molecular, and multiomic biomarker data, along with
large-scale patient data holds the promise of transforming
timelines and costs in drug development for oncology. We are very
enthusiastic about 2024 and will be actively focused on meeting and
possibly exceeding the milestones ahead of us, which include
potential initial data from our LP-184 Phase 1A trial; advancing
the new company born from AI – Starlight Therapeutics, which is
focused wholly on CNS cancers; and progressing our ADC oncology
program,” said Panna Sharma, President and CEO of Lantern
Pharma.
Sharma continued, “Computational and AI-driven approaches are
increasing their value-driving impact on oncology drug development,
and our team continues to increase the capabilities and usefulness
of our platform while also helping to de-risk and sharpen the focus
of our existing clinical drug candidates. Our leadership in the
innovative use of AI and machine learning to transform costs and
timelines in the development of precision oncology therapies has
guided three drug development programs in active clinical trials.
We believe this pace of development with our focused team and
resources should yield significant future benefits for investors
and patients as our industry matures, adopts and accepts a data and
AI-centric approach to drug development.”
Highlights of AI-Powered Pipeline:
- LP-284 – Launched the first-in-human Phase 1 clinical
trial with LP-284 targeting recurrent non-Hodgkin’s lymphomas (NHL)
and other cancers. Lantern also announced recently that initial
patients had been dosed in the LP-284 clinical trial. LP-284
has shown nanomolar potency across multiple published in vitro and
in vivo studies, including mantle cell lymphoma (MCL), double hit
lymphoma (DHL), and other advanced NHL cancer subtypes with DNA
damage response deficiencies, notably those with compromised
functioning of the ataxia-telangiectasia mutated (ATM) gene due to
mutations or deletions. Nearly all MCL, DHL, and High Grade
B-Cell Lymphoma (HGBL) patients relapse from the current
standard-of-care agents and there is an urgent and unmet need for
novel improved therapeutic options for these patients. In the US
and Europe, MCL, DHL, and HGBLs are diagnosed in 16,000-20,000
patients each year and have an estimated annual market potential of
over USD 3+ billion.
- LP-184 – Several cohorts of patients have been dosed in
the ongoing Phase 1 clinical trial – a first-in-human Phase 1
basket trial across multiple solid tumor indications that are
advanced and refractory to existing standard-of-care therapies. The
trial is enrolling patients that have relapsed/refractory advanced
solid tumors, such as pancreatic cancer, glioblastoma (GBM), brain
metastases (brain mets.), lung cancer, triple-negative breast
cancer, and multiple other solid tumor types with DNA damage
response deficiencies. Lantern expects to continue Phase 1A
enrollment throughout the first half of 2024 across a growing
number of US clinical trial sites, including Fox Chase Cancer
Center, Johns Hopkins Medicine, and other leading centers, with the
potential for an initial readout in Phase 1A during late summer or
early fall. The dosage and safety data obtained in the Phase
1A trial are expected to be used to advance the central nervous
system (CNS) indications for a future Phase 1b/2 trial to be
sponsored by Lantern’s wholly owned subsidiary, Starlight
Therapeutics. Additionally, AI and preclinical studies are ongoing
to further refine drug combination studies supporting the use of
LP-184 to improve the durability of response and/or the overall
response rates in combination with FDA approved drugs that are
widely used in cancer treatment. Globally, the aggregate annual
market potential of LP-184’s target indications is estimated to be
approximately $12+ billion, consisting of $4.5+ billion for CNS
cancers and $7.5+ billion for solid tumors.
- LP-300 – Twelve sites for the Phase 2 Harmonic™ trial
have been activated in the US, and 3 Asian countries are in various
phases of regulatory allowance for clinical trial commencement.
This strategy should increase the potential for dosing additional
patients in the Phase 2 Harmonic™ trial during 2024, which should
help address the patient enrollment challenges Harmonic™ has faced
in the US. In these Asian countries, Japan, South Korea and Taiwan,
the incidence of never-smokers with NSCLC (non-small cell lung
cancer) is double or higher than that of patients in the US.
The Harmonic trial is assessing the effect of LP-300 in combination
with standard-of-care chemotherapy in never-smoker patients with
relapsed NSCLC. Globally, never-smokers with NSCLC are a
growing population of patients and do not respond well to
PD-1/PD-L1-based therapies, leaving them with reduced treatment
options. In the US, there are approximately 20,000-40,000
never-smokers with NSCLC diagnosed annually, representing an
estimated US annual market potential of $1.5 billion and a global
estimated annual market potential of over $2.6 billion. Additional
information on the Harmonic™ trial can be found at the Harmonic™
website and clinicaltrials.gov.
RADR® Platform Growth and Development:
- RADR® continues to advance in size, scope, and capabilities and
is also progressing towards becoming a standard for AI-driven drug
development in oncology – for both early-stage development and
later-stage patient biomarker and combination therapy
identification. RADR® has now surpassed 60+ billion
oncology-focused datapoints and is projected to reach over 100
billion datapoints by the end of 2024. The scope of RADR®’s data
has broadened with a strategic focus on additional classes of
compounds, detailed data on chemical and biochemical features and
drug-interaction data. Additionally, data from clinical studies
such as those being obtained from liquid biopsy, and data from
preclinical combination studies that aim to define drug interaction
and optimal dosage are being incorporated into the datapoints and
data sets powering RADR®. Lantern will potentially focus
additional data growth efforts of the RADR® platform on: drug
sensitivity data, combination treatment outcome data, and biomarker
data in rare cancers, and on emerging synthetic lethal targets that
are aimed at accelerating the development of new therapies for
Lantern and its partners. Additionally, the RADR® platform's
generative AI capabilities, focusing on molecular optimization and
automated feature extraction to improve understanding and
prediction of molecular dynamics, safety, and drug-drug
interactions are planned to increase in functionality and scope in
the coming quarters.
Starlight Therapeutics:
- In Q1 2023, Lantern formed a wholly-owned subsidiary, Starlight
Therapeutics Inc. (“Starlight”), for the clinical development of
drug candidate LP-184’s central nervous system (CNS) and brain
cancer indications – including GBM, brain mets., and several rare
pediatric CNS cancers. Starlight will refer to the molecule LP-184,
as it is developed in CNS indications, as “STAR-001”.
Lantern recently recruited a Starlight Chief Medical Officer who
will focus on Starlight’s clinical trials, development of personnel
to execute on the planned clinical strategy and overall support in
corporate development activity. Starlight and Lantern plan on
initiating Phase 1B/2 clinical trials during the second half of
2024. The market potential for the currently planned indications
for Starlight’s synthetically-lethal, cancer-cell DNA damaging
agent – STAR-001 – is estimated to be $4.5 billion to $5+ billion
USD across both adult and pediatric primary and secondary CNS
cancers.
ADC Program:
- Lantern, in collaboration with academic research partners, has
advanced the development, synthesis, and preclinical
proof-of-concept of a novel, highly potent, cryptophycin-based ADC
(cpADC). The cpADC has shown picomolar potency in a wide range of
solid tumors tested in preclinical development and is being further
evaluated for clinical potential in six solid tumor indications. In
preclinical work, the cpADC produced an 80% cancer cell kill rate
which is more than other ADC drug payloads, including in a cancer
sub-type, medium HER-2 expression cancers, which is an unmet and
critical patient need. Lantern leveraged RADR®, a
proprietary AI platform for oncology drug development, for target
selection and molecular payload characterization in ADCs, and a
unique, controlled conjugation approach for maximizing
drug-to-antibody ratios while controlling for non-specific
conjugation. Lantern expects to move towards IND development of the
ADC program during 2024 with a focus on select solid tumors that
are unresponsive or refractory to current therapies.
Additional Operational Highlights:
- During the 4th quarter of 2023, Lantern filed 3 new patent
applications culminating in 11 new patent applications for the
calendar year 2023.
- Lantern was awarded its fifth orphan drug designation by the
FDA during the fourth quarter of 2023 relating to LP-284 in High
Grade B-Cell Lymphoma (HGBL)
- HGBL represents a rare and aggressive form of B-cell
non-Hodgkin's lymphoma (NHL) with no established standard of care
treatment approach. Typically, frontline intervention involves a
combination of chemo-immunotherapies such as R-CHOP or DA-R-EPOCH.
However, approximately 20-30% of HGBL patients stop responding to
these therapeutic agents and continue cancer progression. For those
with relapsed or refractory (R/R) disease, the survival prognosis
is 8.6 to 16 months.
- The other 4 FDA granted orphan designations, include 3 for
LP-184 in High Grade Gliomas (including GBM), Pancreatic Cancer,
and Atypical Teratoid Rhabdoid Tumors (ATRT), and another for
LP-284 in Mantle Cell Lymphoma.
- New data and scientific findings will be presented for LP-284
at AACR (American Association for Cancer Research) during the 2024
Annual Meeting in San Diego from April 5 to 10.
- Presentation Title: Phase 1a/1b clinical trial of LP-284, a
highly potent TP53 mutation agnostic DNA damaging agent, in
patients with refractory or relapsed lymphomas and solid tumors
(NCT06132503)
- Presenter: Jianli Zhou, PhD (Molecular Biologist, Data
Scientist & Member of the RADR®, AI team at Lantern Pharma)
Fourth Quarter & Fiscal Year 2023 Financial
Highlights:
- Balance Sheet: Cash, cash equivalents, and marketable
securities were approximately $41.3 million as of December 31,
2023, compared to approximately $55.2 million as of December 31,
2022. The cash burn rate for the 4th quarter and full year of 2023
continues to reflect our capital-efficient, collaborator-centered
business model.
- R&D Expenses: Research and development expenses were
approximately $3.6 million for the quarter ended December 31, 2023,
compared to approximately $2.3 million for the quarter ended
December 31, 2022.
- G&A Expenses: General and administrative expenses
were approximately $1.3 million for the quarter ended December 31,
2023, compared to approximately $1.6 million for the quarter ended
December 31, 2022.
- Net Loss: Net loss was approximately $4.2 million (or
$0.39 per share) for the quarter ended December 31, 2023, compared
to a net loss of approximately $3.4 million (or $0.31 per share)
for the quarter ended December 31, 2022.
- Full Year Net Loss: Net loss per share was $1.47 per
share for the fiscal year 2023 compared to $1.31 per share for the
fiscal year 2022.
- Share Repurchase: Lantern’s total outstanding shares
were reduced in 2023 through a repurchase of 145,348 shares of LTRN
common stock at a purchase price of $3.44 per share that the
company executed in November of 2023.
Earnings Call and Webinar Details:
Lantern will host its 4th quarter & full year 2023 earnings
call and webinar today, March 18, 2024, at 4:30 p.m. ET.
-
https://us06web.zoom.us/webinar/register/3317097466094/WN_mwX59UXFQZGhzJ5Ufv8JPA#/registration
- Related presentation materials will be accessible at:
https://ir.lanternpharma.com
- A replay of the 4th quarter and year-end 2023 earnings call and
webinar will be available at: https://ir.lanternpharma.com
About Lantern Pharma:
Lantern Pharma (NASDAQ: LTRN) is an AI company transforming the
cost, pace, and timeline of oncology drug discovery and
development. Our proprietary AI and machine learning (ML) platform,
RADR®, leverages over 60 billion oncology-focused data points and a
library of 200+ advanced ML algorithms to help solve
billion-dollar, real-world problems in oncology drug development.
By harnessing the power of AI and with input from world-class
scientific advisors and collaborators, we have accelerated the
development of our growing pipeline of therapies that span multiple
cancer indications, including both solid tumors and blood cancers
and an antibody-drug conjugate (ADC) program. On average, our newly
developed drug programs have been advanced from initial AI insights
to first-in-human clinical trials in 2-3 years and at approximately
$1.0 - 2.5 million per program.
Our lead development programs include a Phase 2 clinical program
and multiple Phase 1 clinical trials. We have also established a
wholly-owned subsidiary, Starlight Therapeutics, to focus
exclusively on the clinical execution of our promising therapies
for CNS and brain cancers, many of which have no effective
treatment options. Our AI-driven pipeline of innovative product
candidates is estimated to have a combined annual market potential
of over $15 billion USD and have the potential to provide
life-changing therapies to hundreds of thousands of cancer patients
across the world.
Please find more information at:
- Website: www.lanternpharma.com
- LinkedIn: https://www.linkedin.com/company/lanternpharma/
- X: @lanternpharma
Forward-looking Statements:
This press release contains forward-looking statements within
the meaning of Section 27A of the Securities Act of 1933, as
amended, and Section 21E of the Securities Exchange Act of 1934, as
amended. These forward-looking statements include, among other
things, statements relating to: future events or our future
financial performance; the potential advantages of our RADR®
platform in identifying drug candidates and patient populations
that are likely to respond to a drug candidate; our strategic plans
to advance the development of our drug candidates and antibody drug
conjugate (ADC) development program; estimates regarding the
development timing for our drug candidates and ADC development
program; expectations and estimates regarding clinical trial timing
and patient enrollment; our research and development efforts of our
internal drug discovery programs and the utilization of our RADR®
platform to streamline the drug development process; our intention
to leverage artificial intelligence, machine learning and genomic
data to streamline and transform the pace, risk and cost of
oncology drug discovery and development and to identify patient
populations that would likely respond to a drug candidate;
estimates regarding patient populations, potential markets and
potential market sizes; sales estimates for our drug candidates and
our plans to discover and develop drug candidates and to maximize
their commercial potential by advancing such drug candidates
ourselves or in collaboration with others. Any statements that are
not statements of historical fact (including, without limitation,
statements that use words such as "anticipate," "believe,"
"contemplate," "could," "estimate," "expect," "intend," "seek,"
"may," "might," "plan," "potential," "predict," "project,"
"target," “model,” "objective," "aim," "upcoming," "should,"
"will," "would," or the negative of these words or other similar
expressions) should be considered forward-looking statements. There
are a number of important factors that could cause our actual
results to differ materially from those indicated by the
forward-looking statements, such as (i) the risk that our research
and the research of our collaborators may not be successful, (ii)
the risk that promising observations in preclinical studies do not
ensure that later studies and development will be successful, (iii)
the risk that we may not be successful in licensing potential ADC
candidates or in completing potential partnerships and
collaborations, (iv) the risk that none of our product candidates
has received FDA marketing approval, and we may not be able to
successfully initiate, conduct, or conclude clinical testing for or
obtain marketing approval for our product candidates, (v) the risk
that no drug product based on our proprietary RADR® AI platform has
received FDA marketing approval or otherwise been incorporated into
a commercial product, and (vi) those other factors set forth in the
Risk Factors section in our Annual Report on Form 10-K for the year
ended December 31, 2023, filed with the Securities and Exchange
Commission on March 18, 2024. You may access our Annual Report on
Form 10-K for the year ended December 31, 2023 under the investor
SEC filings tab of our website at www.lanternpharma.com or on the
SEC's website at www.sec.gov. Given these risks and uncertainties,
we can give no assurances that our forward-looking statements will
prove to be accurate, or that any other results or events projected
or contemplated by our forward-looking statements will in fact
occur, and we caution investors not to place undue reliance on
these statements. All forward-looking statements in this
presentation represent our judgment as of the date hereof, and,
except as otherwise required by law, we disclaim any obligation to
update any forward-looking statements to conform the statement to
actual results or changes in our expectations.
Lantern Pharma Disclosure Channels to Disseminate
Information:
Lantern Pharma’s investors and others should note that we
announce material information to the public about our company and
its technologies, clinical developments, licensing matters and
other matters through a variety of means, including Lantern
Pharma’s website, press releases, SEC filings, digital newsletters,
and social media, in order to achieve broad, non-exclusionary
distribution of information to the public. We encourage our
investors and others to review the information we make public in
the locations above as such information could be deemed to be
material information. Please note that this list may be updated
from time to time.
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